class_docstr: Base class describing what a task can do.
  A task will define the objective function and search space of it.
  
  Parameters
  ----------
  max_trials : int
     Max number of trials the experiment will run against this task.
  kwargs : dict
     Configurable parameters of the task, a particular task
     implementation can have its own parameters.
docstr: Return the configuration of the task.
docstr_tok: ["Return","the","configuration","of","the","task","."]
code: def configuration(self) -> Dict[str, Any]:
      """Return the configuration of the task."""
      return {self.__class__.__qualname__: self._param_names}
  
file_path: orion/src/orion/benchmark/task/base.py
imports: from abc import ABC, abstractmethod
  from typing import Any, Dict, List
  from orion.core.utils import GenericFactory
label_desc: Use image node_id 6 for calling the BenchmarkTask obj's underlying member method code with example usage: obj.configuration() and returns: dict